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机构地区:[1]第二炮兵工程大学自动控制工程系,西安710025
出 处:《计算机应用》2015年第10期2920-2926,2932,共8页journal of Computer Applications
基 金:国家自然科学基金资助项目(61304001;61304239)
摘 要:针对具有参数不确定性特点的高超声速飞行器输出跟踪问题,提出了一种基于分层模糊系统的自适应H∞控制器的设计方法。为了解决模糊控制器中规则数目随系统变量个数呈指数增长的问题,减少在线辨识参数的数量,增强控制系统的实时性,设计了一种基于分层模糊系统的间接自适应控制器;同时为了减少模糊系统逼近误差、参数不确定性和系统外部干扰对控制系统稳定性造成的影响,引入鲁棒补偿项,提高控制器的H∞性能,并利用Lyapunov理论分析证明了整个系统的稳定性能。仿真结果表明,该方法不仅能够保证高超声速飞行器具有良好跟踪性能,而且具有很强的鲁棒性。To deal with the output tracking problem of a hypersonic vehicle with parameters uncertainty, an adaptive controller which obtained H∞ performance was proposed based on hierarchical fuzzy system. In order to solve the problem that the number of rules in a fuzzy controller increases exponentially with the number of variables involved, reduce the number of the parameters to he identified on-line and enhance the real-time performance of the control system, an adaptive controller was designed based on hierarchical fuzzy system. To weak the impact on the stability abused by approximation error of the fuzzy logic system, parameters uncertainty and the external disturbances, the robust compensation terms were introduced to improve the H∞ performance of the system. The Lyapunov theory was applied to analyze and prove the stability of the system. The simulation results demonstrate that the system can not only track the input exactly, but also possess strong robustness.
关 键 词:高超声速飞行器 自适应控制 分层模糊系统 H∞性能
分 类 号:TP273.2[自动化与计算机技术—检测技术与自动化装置]
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